9 market briefs, guides, cost breakdowns, and comparisons to help you decide whether to rent, buy, or colocate GPUs and what it should cost.
TVA’s new large-load charge raises entry costs for data-center projects. This week’s brief separates future capacity announcements from confirmed near-term GPU colocation inventory and explains the implications for buyers.
Break-even math for moving owned GPUs from cloud rental into a colocation facility, plus the hidden cloud costs that widen the gap.
Cost comparison of buying, renting, and colocating GPUs for AI training, with 3-year TCO and the utilization threshold where ownership wins.
Break-even tables for H100 purchase at every utilization tier and a three-model TCO comparison for enterprise AI teams.
Performance, memory bandwidth, cost-per-FLOP, and pricing snapshots for the top training and inference GPUs of 2026.
Decision guide for picking a training GPU by model size, memory, throughput, and cost per token.
How interconnect, form factor, power density, and cooling choices shape a GPU cluster and the facility it needs.
Provider-by-provider comparison of cloud, neocloud, and colocation options for sustained AI workloads.
Neutral comparison of Vast.ai alternatives on price, reliability, GPU availability, and enterprise readiness.
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